Machine Learning in Intelligent Video and Automated Monitoring
Yubo Yuan, David Yang Gao, Shan Zhao · The Scientific World JOURNAL · 2015
The primary goal of this special issue is to showcase cutting-edge research on tracking and identifying objects, analyzing motion, and extracting interesting frames from analog or digital video streams automatically. At the same time, we particularly focus on the efficiency of video surveillance systems and machine learning methods which can be used to analyze video and control the machine automatically. Our aim is to unify the machine learning techniques as an integral concept and to highlight the trends in advanced video intelligence and automated monitoring.